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Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data
Yao, Yunjun1; Liang, Shunlin2; Cao, Bao3; Liu, Shaomin4; Yu, Guirui5; Jia, Kun1; Zhang, Xiaotong1; Zhang, Yuhu6; Chen, Jiquan7; Fisher, Joshua B.8
2018-10-27
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume123Issue:20Pages:11410-11430
Corresponding AuthorYao, Yunjun(boyyunjun@163.com)
AbstractThe MODerate-resolution Imaging Spectroradiometer (MODIS) provides spatially contiguous measurements of terrestrial biophysical variables, which can be used to estimate the terrestrial latent heat flux (LE). MODIS-derived shortwave infrared reflectance (SWIR) metrics (SWIRs) are sensitive to the soil moisture and vegetation water stress. In this study, we used the MODIS-derived SWIRs with eddy covariance flux measurements obtained from 25 flux tower sites representing 10 different land cover types within China to evaluate the sensitivity of SWIRs to ground-measured evaporation fraction and LE. The water constraint metrics determined using the MODIS-derived SWIR generally corresponded better with the ground-measured evaporation fraction values than those obtained without using SWIR. The MODIS-derived SWIRs were used as proxies for the soil and vegetation water supply constraints in a revised Priestley-Taylor algorithm to estimate the terrestrial LE. The estimated LE using the MODIS-derived SWIRs generally corresponded well with the ground-measured LE (0.56 <= R-2 <= 0.97) for most of the flux tower sites. Regional algorithm sensitivity analysis using the MODIS-derived SWIRs as water supply proxies demonstrated that water limitations reduce LE by more than 53% over China, and the atmospheric vapor pressure deficit and relative humidity are not sufficient to characterize both the atmosphere demand and water supply for LE estimation. Our results demonstrate the potential of using MODIS-derived SWIRs to characterize soil and vegetation water supply factors for determining LE, where the relatively high spatial and temporal resolutions (500 m and daily) are closer to the scale of the eddy covariance ground measurements.
DOI10.1029/2018JD029011
WOS KeywordLIGHT USE EFFICIENCY ; GROSS PRIMARY PRODUCTION ; ENERGY-BALANCE CLOSURE ; LAND-SURFACE EVAPORATION ; SOUTHERN GREAT-PLAINS ; SOIL-MOISTURE ; EDDY-COVARIANCE ; IN-SITU ; VEGETATION INDEX ; TRAPEZOID MODEL
Indexed BySCI
Language英语
Funding ProjectNatural Science Fund of China[41671331] ; National Key Research and Development Program of China[2016YFA0600102] ; National Key Research and Development Program of China[2016YFB0501404] ; National Aeronautics and Space Administration ; NASA SUSMAP ; California Institute of Technology
Funding OrganizationNatural Science Fund of China ; National Key Research and Development Program of China ; National Aeronautics and Space Administration ; NASA SUSMAP ; California Institute of Technology
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000452000300009
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51537
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYao, Yunjun
Affiliation1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
2.Univ Maryland, Dept Geol Sci, College Pk, MD 20742 USA
3.Chinese Res Inst Environm Sci, Beijing, Peoples R China
4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
6.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing, Peoples R China
7.Michigan State Univ, Ctr Global Changes & Earth Observat, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA
8.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
Recommended Citation
GB/T 7714
Yao, Yunjun,Liang, Shunlin,Cao, Bao,et al. Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(20):11410-11430.
APA Yao, Yunjun.,Liang, Shunlin.,Cao, Bao.,Liu, Shaomin.,Yu, Guirui.,...&Fisher, Joshua B..(2018).Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(20),11410-11430.
MLA Yao, Yunjun,et al."Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.20(2018):11410-11430.
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